Evidence map›Paper›PMID 31068810›Full record

ArticleFrontiers in pharmacology2019

Unblocking High-Value Botanical Value Chains: Is There a Role for Blockchain Systems?

Michael Heinrich, Francesca Scotti, Anthony Booker, Martin Fitzgerald, Ka Yui Kum, Katja Löbel

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. The Quality Monitoring of Cistanches Herba (Frontiers in pharmacology · 2021
    Article
  8. Article
  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael HeinrichResearch Group Pharmacognosy and Phytotherapy, UCL School of Pharmacy, London, United Kingdom.
Francesca ScottiResearch Group Pharmacognosy and Phytotherapy, UCL School of Pharmacy, London, United Kingdom.
Anthony BookerResearch Group Pharmacognosy and Phytotherapy, UCL School of Pharmacy, London, United Kingdom.
Martin FitzgeraldSchool of Life Sciences, College of Liberal Arts and Sciences, University of Westminster, London, United Kingdom.
Ka Yui KumResearch Group Pharmacognosy and Phytotherapy, UCL School of Pharmacy, London, United Kingdom.
Katja LöbelResearch Group Pharmacognosy and Phytotherapy, UCL School of Pharmacy, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain systems are a fast emerging and a currently widely discussed novel strategy for a decentralized cryptographically enhanced digital ledger recording transactions among stakeholders. This perspective paper looks at its potential uses in the context of high value and mostly low volume botanical material traded globally and used as medicines, health foods, in cosmetics and other applications. We offer a perspective on key areas in the supply of such products globally and how blockchain systems may help in sustainable sourcing, quality assurance, and in tackling supply problems in cases of complex multiherbal preparations. Both open and closed blockchain systems are feasible, and it seems likely that, at least in the initial development, closed ones are the main ones to be utilized. While blockchain's potential is not yet clear, the examples presented here highlight the opportunities of this new technology.

Indexed as

blockchainherbal medicinesquality (herbal medicines)sustainabilitytraditional medicinesvalue chains

Identifiers

PMID31068810
PMCPMC6491748

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.